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Paper Citation Record · LEDGER

Lines of Thought in Large Language Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.01545.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.01545 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:19:28.764239Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T09:25:41.171773Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4f6e1cd1-10eb-4386-b615-7d47a5decf27 · inbound

The Geometry of Tokens in Internal Representations of Large Language Models cites this paper.

The Geometry of Tokens in Internal Representations of Large Language Models Lines of Thought in Large Language Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-10T19:11:41.961433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:11:41.961433Z digest=sha256:e3368a748206bc914d6c77d1b42c83bae92663f603ed762a8b5efe519430ef76

Observation d199b485-f46c-4400-8f9d-73637f08ef20 · inbound

What's in a prompt? Language models encode literary style in prompt embeddings cites this paper.

What's in a prompt? Language models encode literary style in prompt embeddings Lines of Thought in Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T20:19:28.764239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:19:28.764239Z digest=sha256:6a8ef829b9a9dd48f9813ca00dcbb2ed89a911b9ed26c3597e3578c1adfcebf9

Observation d1d66a9c-fa29-403e-b72a-514e028b78c8 · inbound

Gradient Smoothing: Coupling Layer-wise Updates for Improved Optimization cites this paper.

Gradient Smoothing: Coupling Layer-wise Updates for Improved Optimization Lines of Thought in Large Language Models

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:25:41.173509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-01T06:36:48.524846Z digest=sha256:c929290ee90420609575e1bffe6cc66e79375ef142872b230e2191e2dc785391